How AI Changes Founders and Business Models

The panel at SiGMA Central Europe's AIBC Stage brought together founders and operators to ask a question that sounds simple but is not: how does AI actually change what a startup looks like, and what a business model looks like? I joined Gil Solomon, James Spiteri Staines, and Dmytro Sorysh for the conversation. AIBC World published the full video.

The Founder Profile is Changing

One of the threads I pushed in the panel: the AI-native founder is not necessarily more technical than the previous generation — they are more opinionated about what AI cannot do. The founders who are building durable companies are the ones who know exactly where the model fails, and have built their product around those failure modes rather than pretending they do not exist.

Business Models

On business models: the panel agreed that the most durable AI business models in iGaming are not ones that sell AI as a feature — they are ones where AI makes the core offering meaningfully better in a way that compounds over time. Compliance-native AI is a good example. The value of the system increases as it learns more about a specific regulatory environment. That is a moat. A chatbot integration is not.